SECURE INTERNET OF THINGS ONBOARDING USING PUBLIC KEY CRYPTOGRAPHY AND DIFFIE-HELLMAN INTEGRATED ENCRYPTION SCHEME

Techniques are described for using public key cryptography and blockchain methods to automatically and securely on-board Internet of Things (IOT) devices. This is an improvement over typical approaches in which IOT devices are on-boarded to Wi-Fi® networks with a pre-shared key that could be built-in or configured through out-of-band connectivity (e.g., Bluetooth®, Wi-Fi Protected Setup (WPS), etc.)

Robust Encryption

We provide a provable-security treatment of ``robust\u27\u27 encryption. Robustness means it is hard to produce a ciphertext that is valid for two different users. Robustness makes explicit a property that has been implicitly assumed in the past. We argue that it is an essential conjunct of anonymous encryption. We show that natural anonymity-preserving ways to achieve it, such as adding recipient identification information before encrypting, fail. We provide transforms that do achieve it, efficiently and provably. We assess the robustness of specific encryption schemes in the literature, providing simple patches for some that lack the property. We discuss applications including PEKS (Public-key Encryption with Keyword Search) and auctions. Overall our work enables safer and simpler use of encryption

Privacy-Aware Authentication in the Internet of Things

Besides the opportunities o ered by the all-embracing Internet of Things (IoT) technology, it also poses a tremendous threat to the privacy of the carriers of these devices. In this work, we build upon the idea of an RFID-based IoT realized by means of standardized and well-established Internet protocols. In particular, we demonstrate how the Internet Protocol Security protocol suite (IPsec) can be applied in a privacy-aware manner. Therefore, we introduce a privacy-aware mutual authentication protocol compatible with restrictions imposed by the IPsec standard and analyze its privacy and security properties. In order do so, we revisit and adapt the RFID privacy model (HPVP) of Hermans et al. (ESORICS\u2711). With this work, we show that privacy in the IoT can be achieved without relying on proprietary protocols and on the basis of existing Internet standards

Password-Authenticated Public-Key Encryption

We introduce password-authenticated public-key encryption (PAPKE), a new cryptographic primitive. PAPKE enables secure end-to-end encryption between two entities without relying on a trusted third party or other out-of-band mechanisms for authentication. Instead, resistance to man-in-the-middle attacks is ensured in a human-friendly way by authenticating the public key with a shared password, while preventing offline dictionary attacks given the authenticated public key and/or the ciphertexts produced using this key. Our contributions are three-fold. First, we provide property-based and universally composable (UC) definitions for PAPKE, with the resulting primitive combining CCA security of public-key encryption (PKE) with password authentication. Second, we show that PAPKE implies Password-Authenticated Key Exchange (PAKE), but the reverse implication does not hold, indicating that PAPKE is a strictly stronger primitive than PAKE. Indeed, PAPKE implies a two-flow PAKE which remains secure if either party re-uses its state in multiple sessions, e.g. due to communication errors, thus strengthening existing notions of PAKE security. Third, we show two highly practical UC PAPKE schemes: a generic construction built from CCA-secure and anonymous PKE and an ideal cipher, and a direct construction based on the Decisional Diffie-Hellman assumption in the random oracle model. Finally, applying our PAPKE-to-PAKE compiler to the above PAPKE schemes we exhibit the first 2-round UC PAKE\u27s with efficiency comparable to (unauthenticated) Diffie-Hellman Key Exchange

A machine-checked proof of security for AWS key management service

We present a machine-checked proof of security for the domain management protocol of Amazon Web Services' KMS (Key Management Service) a critical security service used throughout AWS and by AWS customers. Domain management is at the core of AWS KMS; it governs the top-level keys that anchor the security of encryption services at AWS. We show that the protocol securely implements an ideal distributed encryption mechanism under standard cryptographic assumptions. The proof is machine-checked in the EasyCrypt proof assistant and is the largest EasyCrypt development to date.Manuel Barbosa was supported by grant SFRH/BSAB/143018/2018 awarded by the Portuguese Foundation for Science and Technology (FCT). Vitor Pereira was supported by grant FCT-PD/BD/113967/201 awarded by FCT. This work was partially funded by national funds via FCT in the context of project PTDC/CCI-INF/31698/2017

Design and Implementation of a Secure Wireless Mote-Based Medical Sensor Network

A medical sensor network can wirelessly monitor vital signs of humans, making it useful for long-term health care without sacrificing patient comfort and mobility. For such a network to be viable, its design must protect data privacy and authenticity given that medical data are highly sensitive. We identify the unique security challenges of such a sensor network and propose a set of resource-efficient mechanisms to address these challenges. Our solution includes (1) a novel two-tier scheme for verifying the authenticity of patient data, (2) a secure key agreement protocol to set up shared keys between sensor nodes and base stations, and (3) symmetric encryption/decryption for protecting data confidentiality and integrity. We have implemented the proposed mechanisms on a wireless mote platform, and our results confirm their feasibility

Identification and Privacy: Zero-Knowledge is not Enough

At first glance, privacy and zero-knowledgeness seem to be similar properties. A scheme is private when no information is revealed on the prover and in a zero-knowledge scheme, communications should not leak provers\u27 secrets. Until recently, privacy threats were only partially formalized and some zero-knowledge (ZK) schemes have been proposed so far to ensure privacy. We here explain why the intended goal is not reached. Following the privacy model proposed by Vaudenay at Asiacrypt 2007, we then reconsider the analysis of these schemes and thereafter introduce a general framework to modify identification schemes leading to different levels of privacy. Our new protocols can be useful, for instance, for identity documents, where privacy is a great issue. Furthermore, we propose efficient implementations of zero-knowledge and private identification schemes based on modifications of the GPS scheme. The security and the privacy are based on a new problem: the Short Exponent Strong Diffie-Hellman (SESDH) problem. The hardness of this problem is related to the hardness of the Strong Diffie-Hellman (SDH) problem and to the hardness of the Discrete Logarithm with Short Exponent (DLSE) problem. The security and privacy of these new schemes are proved in the random oracle paradigm

Hybrid Encryption in the Multi-User Setting

This paper presents an attack in the multi-user setting on various public-key encryption schemes standardized in IEEE 1363a, SECG SEC 1 and ISO 18033-2. The multi-user setting is a security model proposed by Bellare et al., which allows adversaries to simultaneously attack multiple ciphertexts created by one or more users. An attack is considered successful if the attacker learns information about any of the plaintexts. We show that many standardized public-key encryption schemes are vulnerable in this model, and give ways to prevent the attack. We also show that the key derivation function and pseudorandom generator used to implement a hybrid encryption scheme must be secure in the multi-user setting, in order for the overall primitive to be secure in the multi-user setting. As an illustration of the former, we show that using HKDF (as standardized in NIST SP 800-56C) as a key derivation function for certain standardized hybrid public-key encryption schemes is insecure in the multi-user setting

Hermes. A framework for cryptographically assured access control and data security

This paper presents Hermes – a practical data security scheme with a reference implementation, which enables distributed sharing and collaboration, enforcing access control with the help of cryptographic methods (public key cryptography and traditional symmetric cryptography)

Securing Remote Access Inside Wireless Mesh Networks

Wireless mesh networks (WMNs) that are being increasingly deployed in communities and public places provide a relatively stable routing infrastructure and can be used for diverse carrier-managed services. As a particular example we consider the scenario where a mobile device initially registered for the use with one wireless network (its home network) moves to the area covered by another network inside the same mesh. The goal is to establish a secure access to the home network using the infrastructure of the mesh. Classical mechanisms such as VPNs can protect end-to-end communication between the mobile device and its home network while remaining transparent to the routing infrastructure. In WMNs this transparency can be misused for packet injection leading to the unnecessary consumption of the communication bandwidth. This may have negative impact on the cooperation of mesh routers which is essential for the connection establishment. In this paper we describe how to establish remote connections inside WMNs while guaranteeing secure end-to-end communication between the mobile device and its home network and secure transmission of the corresponding packets along the underlying multi-hop path. Our solution is a provably secure, yet lightweight and round-optimal remote network access protocol in which intermediate mesh routers are considered to be part of the security architecture. We also sketch some ideas on the practical realization of the protocol using known standards and mention extensions with regard to forward secrecy, anonymity and accounting